I was trying to normalize my input data images for feeding to my convolutional neural network and wanted to use standardize my input data.
I referred to this post, which says that featurewise_center and featurewise_std_normalization scale the images to the range [-1, 1].
Wouldn't training the model with this data lead to inaccuracies since the testing data would not be normalized in a similar way and would only range between [0, 1]? How can I standardize my data while keeping its range between [0, 1]?
